# @extrahopnetworks on YouTube

- **Type:** Video
- **Original URL:** https://youtube.com/watch?v=nKd2i1QJMdg
- **Gondola URL:** https://gondola.cc/posts/67627610-extrahopnetworks-youtube
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/68c260e610.jpg
- **Posted:** 2026-07-07T22:30:16.000+00:00
- **Account Owner:** ExtraHop (@extrahopnetworks) — https://gondola.cc/extrahopnetworks

## Caption

Attackers are using AI to automate reconnaissance, adapt in real time, and evade defenses without human intervention — collapsing breakout time and outpacing traditional, human-scale SOC workflows.

Organizations are turning to autonomous security agents and LLMs to close that gap. But there's a catch: LLMs are expensive and inefficient when fed unoptimized data. Dumping raw packet captures and unfiltered logs into an autonomous agent overwhelms token budgets, saturates context windows, and degrades reasoning — leading to slower response times, higher costs, and inaccurate conclusions.

Autonomous agents don't need more data. They need structured context.
That's where ExtraHop comes in. Endpoints can be disabled, logs altered, and identities compromised — but attackers can't hide their network footprint. ExtraHop transforms raw network telemetry into pre-structured, identity-tagged metadata built for machine reasoning at scale, delivering accurate results with a massive reduction in token usage.

Learn how ExtraHop provides the context layer your organization needs for flexible, effective, and affordable machine-speed defense.

Want to try ExtraHop for yourself? Check out our online demo: https://xtra.li/467H6Np

#NetworkDetectionAndResponse #CyberSecurity #AI #LLM #SOC #ExtraHop #ThreatDetection #NetworkSecurity

## Stats

- **Views:** 21
- **Likes:** 2
- **Shares:** 0
- **Comments:** 0

## Tags

llm, threatdetection, cybersecurity, networksecurity, soc, ai, extrahop, networkdetectionandresponse

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